Prediction of Development and Rupture Risk for Intracranial Unruptured Aneurysms
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- Are you between 18 and 70 years old?
Source: NCT05576727, who can take part
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- Who runs it
- Second Affiliated Hospital, Zhejiang University, School of Medicine
- Trial code
- NCT05576727
- Record updated
- 13 October 2022
- Original description
In recent years, researches on the natural history and risk factors of intracranial unruptured aneurysms have become a hot topic at home and abroad. However, risk factors for aneurysm rupture is still unclear yet. The investigators' preliminary study focused on constructing a rupture risk prediction system for intracranial unruptured aneurysm in the investigators' single center. The investigators' result showed that three significant factors (sex, abnormal serum tumor necrosis factor (TNF)-α and coincidence of thin-walled regions (TWR) and normalized wall shear stress (NWSS)) stood out by using logistic regression to explore the rupture risk factors of intracranial unruptured aneurysms, which could help guide the clinical treatment of intracranial unruptured aneurysms. This study is to evaluate and improve the rupture predict model of intracranial unruptured aneurysm in multi-neurosurgical centers.Read full original descriptionShow less
In recent years, researches on the natural history and risk factors of intracranial unruptured aneurysms have become a hot topic at home and abroad. However, risk factors for aneurysm rupture is still unclear yet. The investigators' preliminary study focused on constructing a rupture risk prediction system for intracranial unruptured aneurysm in the investigators' single center. The investigators' result showed that three significant factors (sex, abnormal serum tumor necrosis factor (TNF)-α and coincidence of thin-walled regions (TWR) and normalized wall shear stress (NWSS)) stood out by using logistic regression to explore the rupture risk factors of intracranial unruptured aneurysms, which could help guide the clinical treatment of intracranial unruptured aneurysms. This study is to evaluate and improve the rupture predict model of intracranial unruptured aneurysm in multi-neurosurgical centers.
Inclusion: Diagnosis of aneurysm by digital subtraction angiography (DSA); Age between 18-70 years old; Informed consent form for this study was signed.
Exclusion: Dissecting aneurysms and saccular aneurysms with other vascular diseases such as arteriovenous malformations, moyamoya disease, and arteriovenous fistulas were excluded; Combined with serious systemic diseases; Patients who cannot receive MRI/magnetic resonance angiography (MRA) examinations due to severely impaired renal function, allergy, space claustrophobia or internal implants in the body.